English
norskBlar i forfatter "Utheim, Tor Paaske"
Viser treff 1-11 av 11
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Artificial intelligence in dry eye disease
(Journal article; Tidsskriftartikkel, 2021-11-27)Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. Many tests used in the diagnosis of DED rely on an experienced observer for image interpretation, which may be considered subjective and result in variation in diagnosis. ... -
Culture of Oral Mucosal Epithelial Cells for the Purpose of Treating Limbal Stem Cell Deficiency
(Journal article; Tidsskriftartikkel; Peer reviewed, 2016-03-01)The cornea is critical for normal vision as it allows allowing light transmission to the retina. The corneal epithelium is renewed by limbal epithelial cells (LEC), which are located in the periphery of the cornea, the limbus. Damage or disease involving LEC may lead to various clinical presentations of limbal stem cell deficiency (LSCD). Both severe pain and blindness may result. Transplantation ... -
Genetic Aspects of Dental Erosive Wear and Dental Caries
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-13)Objectives. &e present review aims to give an overview of the literature focusing on novel genetic aspects of dental erosion and dental caries. Once the tooth erupts into the oral cavity, the regenerative capability of enamel is fundamentally limited due to the loss of dental epithelium during eruption. &e susceptibility or resistance to dental erosion and caries is presumably a result of environmental, ... -
Heidelberg Anterion Swept-Source OCT Corneal Epithelial Thickness Mapping: Repeatability and Agreement With Optovue Avanti
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-01)<p><b> PURPOSE:</b> To assess the repeatability of corneal epithelial thickness mapping in virgin, post-laser refractive surgery (PLRS), and keratoconic eyes using a novel swept-source optical coherence tomographer (SS-OCT), and to determine the agreement of the measurements with a validated spectral-domain (SD) OCT. <p><b> METHODS:</b> Analysis of 90 virgin, 46 PLRS, and 122 keratoconic eyes ... -
Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-17)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear film lipid layer, studying the expression of tear proteins might increase the understanding of the etiology of the condition. Machine learning is able to detect patterns in ... -
Intraoperative swept-source OCT–based corneal topography for measurement and analysis of stromal surface after epithelial removal
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-01)<p>PURPOSE: To assess intraoperative stromal topography measurements using swept-source optical coherence tomography (OCT)–based topography/tomography after epithelial removal and to analyze the epithelial contribution to the corneal topography and optics. <p>METHODS: This was a prospective series of 22 eyes of 19 patients referred to receive phototherapeutic keratotomy (PTK) for treatment of ... -
Predicting an unstable tear film through artificial intelligence
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-10)Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. In this pilot study, we retrospectively included clinical data from 431 patients with dry eye disease examined in the Norwegian Dry Eye Clinic to evaluate how artificial intelligence ... -
Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-17)Dry eye disease is a common and potentially debilitating medical condition. Meibum secreted from the meibomian glands is the largest contributor to the outermost, protective lipid layer of the tear film. Dysfunction of the meibomian glands is the most common cause of dry eye disease. As meibomian gland dysfunction progresses, gradual atrophy of the glands is observed. The meibomian glands are ... -
Safety and efficacy of epithelium-on corneal collagen cross-linking using a multifactorial approach to achieve proper stromal riboflavin saturation
(Journal article; Tidsskriftartikkel; Peer reviewed, 2012-07-30)Purpose. To evaluate the efficacy and safety of epithelium-on corneal collagen cross-linking (CXL) using a multifactorial approach to achieve proper stromal riboflavin saturation. Methods. This non-randomized retrospective study comprised 61 eyes with progressive keratoconus treated with epithelium-on CXL. Chemical epithelial penetration enhancement (benzalkonium chloride-containing local medication ... -
Stem cell function is conserved during shortterm storage of cultured epidermal cell sheets at 12°C
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-20)Transplantation of cultured epidermal cell sheets (CES) can be life-saving for patients with large area burns. CES have also been successfully used to regenerate eye and urethral epithelia in animal models. Short-term storage aims to extend the transplantation window, offers flexibility in timing surgery and allows testing of CES quality, phenotype and sterility. This study investigated extended CES ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-22)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear film lipid layer, studying the expression of tear proteins might increase the understanding of the etiology of the condition. Machine learning is able to detect patterns in complex ...
